Biblio

Filters: Author is Q. Zhu  [Clear All Filters]
2016
B. Zheng, H. Liang, Q. Zhu, H. Yu, C. W. Lin.  2016.  Next Generation Automotive Architecture Modeling and Exploration for Autonomous Driving. 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI). :53-58.
B. Zheng, P. Deng, R. Anguluri, Q. Zhu, F. Pasqualetti.  2016.  Cross-Layer Codesign for Secure Cyber-Physical Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35:699-711.
B. Zheng, C. W. Lin, H. Yu, H. Liang, Q. Zhu.  2016.  CONVINCE: A cross-layer modeling, exploration and validation framework for next-generation connected vehicles. 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). :1-8.
2017
Y. Bao, M. Chen, Q. Zhu, T. wei, F. Mallet, T. Zhou.  2017.  Quantitative Performance Evaluation of Uncertainty-Aware Hybrid AADL Designs Using Statistical Model Checking. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. PP:1-1.
T. wei, Yanzhi Wang, Q. Zhu.  2017.  Deep reinforcement learning for building HVAC control. 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC). :1-6.
F. Miao, Q. Zhu, M. Pajic, G. J. Pappas.  2017.  Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks. IEEE Transactions on Control of Network Systems. 4:106-117.
B. Zheng, C. W. Lin, H. Liang, S. Shiraishi, W. Li, Q. Zhu.  2017.  Delay-Aware Design, Analysis and Verification of Intelligent Intersection Management. 2017 IEEE International Conference on Smart Computing (SMARTCOMP). :1–8.
H. Liang, Z. Wang, B. Zheng, Q. Zhu.  2017.  Addressing Extensibility and Fault Tolerance in CAN-based Automotive Systems. 2017 IEEE/ACM International Symposium on Networks-on-Chip (NOCS).
H. Li, T. wei, R. Cai, Q. Zhu, Y. Wang.  2017.  Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations. 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
B. Zheng, M. O. Sayin, C. W. Lin, S. Shiraishi, Q. Zhu.  2017.  Timing and Security Analysis Framework for VANET-based Intelligent Transportation Systems. 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).
S. A. Seshia, S. Hu, W. Li, Q. Zhu.  2017.  Design Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 36:1421–1434.
2018
P. Zhao, Y. Wang, N. Chang, Q. Zhu, X. Lin.  2018.  A Deep Reinforcement Learning Framework for Optimizing Fuel Economy of Hybrid Electric Vehicles. 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC).
Submitted